OBJECTIVE  To explore the effect of artificial intelligence (AI)-based hand hygiene examination system on raising the accurate rate and qualified rate of hand hygiene tests of the logistics personnel.

METHODS  A total of 381 logistics personnels who were on duty in the Third Affiliated Hospital of Naval Medical University from Oct. 2023 to Mar. 2024 were recruited as the research subjects and were organized to take part in the training of hand hygiene theory and operation. The AI hand hygiene examination system was used for the assessment of 5 rounds of seven-step handwashing methods. The accurate rate of each single hand hygiene step and the total qualified rate were statistically analyzed before and after the training.

RESULTS  After the rounds of assessment with the use of AI hand hygiene examination system, the qualified rate of hand hygiene of the 381 logistics personnel was 96.06% after the training, higher than 12.34% before the training (χ²=662.053, P < 0.001).The accurate rates of the steps of the seven-step handwashing method increased, and the accurate rates of 4L left knuckle rotational rubbing (χ²=347.676, P < 0.001), 4R right knuckle rotational rubbing (χ²=330.724, P < 0.001), 5L left thumb rotational rubbing (χ²=490.733, P < 0.001) and 5R right thumb rotational rubbing (χ²=438.805, P < 0.001) increased remarkably.

Conclusion  As compared with the traditional assessment mode for the seven-step handwashing training, the information technology based on AI hand hygiene examination system can effectively remedy the limitations of the direct monitoring of the observer such as ′Hawthorne effect′ and incapable of retrospective review of performance, and it can remarkably raise the accurate rate of hand hygiene and total qualified rate of hand hygiene of the logistics personnel.